Quantabble — AP Science Misconception Diagnostics

io.github.Quantabble/ap-science-diagnostics · v1.0.0

Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.

MCPremoteno credentialsScience & open dataResearch & education

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 2 tools, protocol 2024-11-05 · checked 2026-10-17

Test & rating

A 95/100

What it does: 2 tools · 1 read, 0 write · Research & education

Test call get_coverage: worked (1,014 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +10
Read/write annotations: 0
Safe test call: +20
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://quantabble-api.chemandphysicsmastery.workers.dev

Tools

2 tools listed at last check

diagnose_response Diagnose a student's written explanation in AP Chemistry or AP Physics 1 (or the same topics in introductory chemistry or algebra-based physics). Returns structured diagnostic data for your own tutoring: the verdict; the student's specific misconception in plain words, with error_source telling you
get_coverage Returns Quantabble's coverage and full topic catalog: every schema_id with its course, unit, topic number and title. Use it to check a topic is in scope and to look up the schema_id to pass to diagnose_response when you already know what the student is working on. Free; no model call.

Badge

Markdown for your README

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